a. Perform the residual analysis to verify the assumptions of the model. If any assumptions are violated, clearly state which assumption(s) are violated. b. Determine if there are any outliers. If there are outliers, state which data value is an outlier.
a. Perform the residual analysis to verify the assumptions of the model. If any assumptions are violated, clearly state which assumption(s) are violated. b. Determine if there are any outliers. If there are outliers, state which data value is an outlier.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:4. A question of interest is whether increasing the amount of exercise will decrease blood glucose
ohe levels for pre-diabetic adults and if so, in what fashion. A random sample of twenty pre-diabetic
oadults was obtained. The data below gives the amount of time spent exercising per week (in hours)
and the person's blood glucose level (measured in mg/dL).
Exercise Time
Glucose Levels
Exercise Time
Glucose Level
1.67
155
4.5
105
2
150
3.75
125
1.5
156
95
2.3
149
6 SI
98
2.92 80
151
100
3.5
129
4
118
2.08
145
5.5
114
2.5
135
6.5
98
1.25
154
4.5
107
3.75O
127
7.5
80
Transcribed Image Text:3. Consider once again the data describing the relationship between exercise and glucose levels
described in problem 4. Use the data in problem 4 to answer the following questions.
a. Perform the residual analysis to verify the assumptions of the model. If any assumptions are
violated, clearly state which assumption(s) are violated.
b. Determine if there are any outliers. If there are outliers, state which data value is an outlier.
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